Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions

Sajid Sarwar, Muhammad Yaqoob Javed, Mujtaba Hussain Jaffery, Muhammad Saqib Ashraf, Muhammad Talha Naveed and Muhammad Annas Hafeez
Additional contact information
Sajid Sarwar: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Muhammad Yaqoob Javed: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Mujtaba Hussain Jaffery: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Muhammad Saqib Ashraf: Department of Electrical Engineering, Government College University, Faisalabad 38000, Pakistan
Muhammad Talha Naveed: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Muhammad Annas Hafeez: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan

Energies, 2022, vol. 15, issue 13, 1-39

Abstract: Photovoltaic (PV) solar energy is a very promising renewable energy technology, as solar PV systems are less efficient because of climate conditions, temperature, and irradiance change. So, to resolve this problem, two PV topologies are used, i.e., centralized and distributed PV systems. The centralized technique is quicker than the distributed technique in terms of convergence speed and a faster power tracking approach. In the event of uniform irradiance, the centralized system also has the benefit of supplying superior energy, but in PS scenarios, a huge amount of energy is lost. However, the distributed approach requires current and voltage measurements at each panel, resulting in a massive data set. Nevertheless, in the event of shading circumstances, the distributed technique is highly effective because a modular level power electronics (MLPE) converter is used. While in a centralized PV system, there is only a single DC-DC converter for the whole PV system. In this research work, a DFO-based DC-DC converter is designed for modular level, with an ability to perform a rapid shutdown of the module under fire hazard conditions, troubleshooting, and monitoring of a module in a very efficient way. The robustness of the proposed MPPT DFO algorithm is tested with different techniques such as Cuckoo Search (CS), Fruit Fly Optimization (FFO), Particle swarm optimization (PSO), Incremental conductance (InC), and Perturb and observe(P&O) techniques. The proposed technique shows better results in terms of MPPT efficiency, dynamic responsiveness, and harmonics. Furthermore, the result of MLPE and the centralized system is verified by using the Helioscope with different inverter companies like SMA, Tigo, Enphase, Solar edge, and Huawei. The results prove that MLPE is a better option in the case of shading region for attaining the maximum power point.

Keywords: MLPE; photovoltaic; MPPT; dragonfly algorithm; partial shading condition; uniform irradiance condition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/13/4797/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/13/4797/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:13:p:4797-:d:852548

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().